Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Tissues

Tissues

Cells with similar structure and function are grouped into tissues. A group of tissues with a specialized function is called an organ. There are four main types of tissue in vertebrates: epithelial, connective, muscle, and nervous.

Tissues

Tissues

Tissues are a group of cells that share a common embryonic origin. Microscopic observation reveals that the cells in a tissue share morphological features and are arranged in an orderly pattern to perform specific functions. From an evolutionary perspective, tissues appear in more complex organisms. Although there are many types of cells in the human body, they are organized into four broad categories of tissues: epithelial, connective, muscle, and nervous. Each of these categories is...

Levels of Organization

Levels of Organization

Biological organization is the classification of biological structures, ranging from atoms at the bottom of the hierarchy to the Earth's biosphere. Each level of the hierarchy represents an increase in complexity that builds upon the previous level.
Molecules Are Composed of Atoms, and Biomolecules Are Assembled from Molecules:
The most basic levels include atoms, molecules, and biomolecules. Atoms, the smallest unit of ordinary matter, are composed of a nucleus and electrons. Molecules...

Cadherins in Tissue Organization

Cadherins in Tissue Organization

The cadherins are a superfamily of cell adhesion molecules comprising over 180 variants, with specific tissues expressing a particular combination of cadherin types. Cadherins generally exhibit homophilic binding; i.e., cadherins on one cell bind to cadherins of the same or closely related type on another cell. Thus, cells of the same type have a specific affinity to bind to each other and sort themselves into clusters to form tissues.
Cell Sorting During Development
Cell sorting plays an...

Structural Organization of the Human Body: An Overview

Structural Organization of the Human Body: An Overview

It is convenient to consider the body's structures in terms of fundamental levels of organization that increase in complexity: subatomic particles, atoms, molecules, organelles, cells, tissues, organs, organ systems, and organisms.
To study the chemical level of organization, scientists consider the simplest building blocks of matter: subatomic particles, atoms, and molecules. All matter in the universe is composed of one or more unique pure substances called elements, familiar examples of...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

How do career expectations and job preparation affect youth job satisfaction? An empirical analysis based on underdeveloped regions in China.

Frontiers in psychology·2026

Same author

Engineering Mechanically Strong and Bioactive Gelatin-Based Supramolecular Plastics via Hydrogen Bonding and Coordination Interactions for Food Packaging.

Biomacromolecules·2026

Same author

The transcriptional regulator MOS1 attenuates salinity stress-induced seed germination inhibition via negative feedback regulation of ABA signaling in Arabidopsis.

Journal of experimental botany·2026

Same author

HERPUD1 suppresses porcine epidemic diarrhea virus replication by recruiting HRD1 to degrade viral ORF3 protein.

Journal of virology·2026

Same author

Enhancing Cross-scale Feature Mutual Information via Heterogeneous Graph Contrastive Learning for Drug-Target Binding Affinity Prediction.

IEEE journal of biomedical and health informatics·2026

Same author

Immune cell delivery platforms for tumor therapy: From empirical approaches to AI-integrated frameworks.

Journal of controlled release : official journal of the Controlled Release Society·2026

Search research articles

Related Experiment Video

Updated: Mar 2, 2026

Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging

Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging

Published on: April 30, 2019

HRCHY-CytoCommunity identifies hierarchical tissue organization in cell-type spatial maps.

Runzhi Xie¹, Zekun Wang¹, Jianrui Liu¹

¹School of Computer Science and Technology, Xidian University, Xi'an, Shaanxi, China.

Nature Communications

|March 1, 2026

Summary

HRCHY-CytoCommunity, a graph neural network, identifies multi-level tissue structures from spatial maps. This tool deciphers tissue organization from cells to organs, aiding in disease research.

More Related Videos

Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment

Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment

Published on: March 25, 2020

Mass Cytometry Analysis of Systemic and Local Immune Responses in Hepatocellular Carcinoma

Mass Cytometry Analysis of Systemic and Local Immune Responses in Hepatocellular Carcinoma

Published on: April 25, 2025

Related Experiment Videos

Last Updated: Mar 2, 2026

Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging

Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging

Published on: April 30, 2019

Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment

Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment

Published on: March 25, 2020

Mass Cytometry Analysis of Systemic and Local Immune Responses in Hepatocellular Carcinoma

Mass Cytometry Analysis of Systemic and Local Immune Responses in Hepatocellular Carcinoma

Published on: April 25, 2025

Area of Science:

Computational biology
Spatial omics
Graph neural networks

Background:

Tissues exhibit hierarchical spatial organization through the assembly of diverse cell types.
Understanding tissue architecture is crucial for biological and medical research.

Purpose of the Study:

To present HRCHY-CytoCommunity, a novel graph neural network framework.
To identify multi-level tissue structures directly from cell-type annotated spatial maps.
To enable deciphering tissue organization from single cells to intact tissues.

Main Methods:

Developed an end-to-end graph neural network framework integrating differentiable graph pooling, adaptive edge pruning, and regularization.
Implemented cross-sample hierarchy alignment via cell-type enrichment-based clustering.
Benchmarked performance on diverse spatial omics datasets.

Main Results:

HRCHY-CytoCommunity accurately identifies coarse-grained tissue compartments and fine-grained cellular neighborhoods.
The framework preserves complete cellular coverage and fully nested relationships across multiple scales.
Applied to a breast cancer cohort, it enabled hierarchical prognostic stratification and revealed survival-associated spatial patterns.

Conclusions:

HRCHY-CytoCommunity is a general and scalable tool for deciphering tissue organization.
The framework outperforms existing methods in identifying hierarchical tissue structures.
It has potential applications in understanding disease mechanisms and patient stratification.